Interface | Description |
---|---|
PosteriorSamplingAlgorithm | |
ProbabilisticModel |
A model composed of
Variable s that can return a value of log-probability for a given set of input values. |
ProbabilisticModelWithGradient |
A
ProbabilisticModel that can also return the gradient of its log-probability: required by algorithms such as Keanu.Sampling.NUTS and GradientOptimizer . |
Variable<VALUE,STATE extends VariableState> | |
VariableReference |
A unique identifier for a
Variable , used as a key in Map s |
Class | Description |
---|---|
NetworkSample |
A network sample contains the state of the network (variable values) and the logOfMasterP at
a given point in time.
|
NetworkSamples |
An immutable collection of network samples.
|
Samples<T> | |
Statistics |